In this article, Iíd like to take a look at a subtle yet powerful relationship between time and price that is misunderstood and overlooked by 99% of traders, but that has allowed the select few who truly understand it to consistently and repeatedly pinpoint market reversals weeks and months ahead of time.
In most of the works written on technical analysis, youíll fi nd that the charting techniques tend to fall into one of two general categories. The first category is price analysis, such as Fibonacci retracements, where the major focus of the technique is the price of the stock or commodity being analyzed. For example, Fibonacci retracements are calculated by subtracting a recent swing high and swing low to obtain a difference.
Th is difference is then multiplied by various ratios, and added to or subtracted from the most recent swing level to obtain future areas of support and resistance. The focus of this tool is entirely based on the price axis of the chart, with no information given as to when a particular projection ought to take place, only the price level at which it will happen. Most oscillator style tools fall into this category as well, being calculated using inputs limited to the last few price points recorded on the chart.
The second category is time analysis. You can apply the Fibonacci techniques to the time axis as well, measuring the time between two swing points, multiplying by the appropriate ratios, and adding this distance to the last swing point to get projections of future turning points. This tool works primarily on the time axis, with no regard to the price at which the projected swing is expected to occur at. Cycle analysis falls in this category as well. While prices tend to be used in cycle analysis as a way to pin down the appropriate cycles to use, this information gets washed out in the algorithm and we are left with nothing more than time projections telling us to expect a turn at a given time but with no information about the price which this turn ought to happen at.
The point here is that weíve all been trained to regard the time and price axes of the chart as two separate and totally independent things, and the techniques we use reflect this view. While we need both time and price values in order to construct our chart, we treat them as two separate variables, each with their own units and labels that donít cross over. Just as you canít convert from inches to gallons, we assume that the time and price axes of our chart are similarly segregated and independent, as the units measure two totally diff erent and separate things.
In trading, all assumptions must be questioned, especially the most basic ones. In my work, Iíve discovered that markets represent energy movement, and this energy movement expresses itself in both time and price simultaneously. What this means, from the perspective of markets, is that there really isnít any difference between time and price aft er all. Time and price are recorded in separate units, but rather than being like inches and gallons as everyone assumes, they are more like inches and centimeters. Both measure the same energy just using different labels. This means that once we know how, we can convert between the two, transforming price into time and time into price.
This is one of the reasons why WD Gann was able to make projections in both time and price simultaneously. He didnít just say that price would hit a specific level, or that there would be a turn at a specific date. He would say that the market would turn on a specific day at a specific price. There was both a time component and a price component to his forecasts, which is something that would have been impossible for him to do if he focused his techniques on only one axis of the chart as most traders do today.
With this idea in mind, letís take a look at a very basic example of what we can do with this information. Please take a look at Figure 1, a daily chart of IBM.
In early February of 2004, IBM made a high at 100.43 and spent the next six months in a decline. The price at the high represents a very important vibration level for this market, and like a rock thrown into a pond, it will generate ripples that move out into the future on our chart. Detecting these ripples is very easy, once we know to look for them. On the chart, Iíve taken 100.43 as a base unit, then multiplied it out by various Fibonacci ratios to obtain the following:
100.43 x 0.382 = 38.3 (0.618 x 0.618)
100.43 x 0.618 = 62.06 (0.618 = 1/golden ratio)
100.43 x 1.0 = 100.43 (the most basic ratio)
100.43 x 1.27 = 127.54 (1.27 is the square root of 1.618)
100.43 x 1.618 = 162.49 (1.618 = golden ratio)
Then, for kicks, we can also throw in a couple other ratios common in Sacred Geometry:
100.43 x 1.73 = 173.89 (root 3)
100.43 x 2.23 = 224.5 (root 5)
Now, using our high as our initial starting point, we count forward to find areas on the chart where the market should react. I counted forward using degrees of movement of the Sun, the true timekeeper. So take our high, add 62 degrees of movement of the Sun, and you get the reaction high in April. Take the high, add 100 degrees, and you get the date for the low in May.
You can see on the chart how well this technique worked to locate turning points in the future. The important thing to realize here is that we are using a pure price number to generate pure time targets. This would not be possible if there was no relationship between the time and price axes on our chart. Th is is not a selected example either Ė you can take any chart and repeat this exercise and youíll see that an important price will generate important times in the future. The only requirement to do this successfully is the proper conversion factor between the two. Iíve used the Sun in this case, which works great on IBM, but diff erent markets have diff erent vibration rates, so keep that in mind when you experiment with this technique on your own charts.
Once you know the conversion factor between time and price for your market and timeframe, that factor should never change and will remain valid forever. Just as every object has a resonant frequency at which it absorbs energy, every market has a factor that it uses to convert price to time and time to price.
When you know the right factor for your market, you can set your chart up in such a way that you can actually see the relationships visually. This is called proper chart scaling or square scaling. All the legendary traders of the past like Gann, Bayer, and Marechal knew about chart scaling. If you draw charts by hand, you have to determine the scale ahead of time, and the chart scale is a direct connection between the price axis and the time axis. So if you take a look at Figure 2, youíll find our IBM chart drawn out using the scale of 0.1 points per bar. What this means is that for every bar width on the chart, we need to go up 0.1 points on our price axis. If there are 300 bars on the chart, and our chart is perfectly square, then our price axis needs to cover exactly 30 points of vertical movement (300 x 0.1). Said another way, if our chart is 10 inches long and covers 300 days, then 30 points of price movement also needs to take up 10 inches of paper. If we have a rectangular chart, then we need to take the dimensions of the paper into account when calculating the height of our price axis. When this is all done correctly, then a 45 degree line drawn on the chart will represent a perfect balance of price movement and time movement, given the marketís built-in exchange rate between the two.
A chart that is properly scaled in this way will suddenly exhibit geometrical patterns and shapes that were not visible beforehand. Th ese patterns are more than just pretty Ė you can use them to trade. Take a look at Figure2, where Iíve added 3 simple squares to the chart.
All Iíve done is take a swing high and a swing low, and drawn a square starting from the first point and ending at the second. So our fi rst square begins at point A, then extends down to the level of the low at point B. Find that square, then move over to the rightmost edge and youíll see that it lines up with the time of our turn at C. Th e next square moves from C to D, and gave us a turn at E, not to mention a price level at F. The third square moved from F to G, and generated the turn at H.
I only added three squares to this chart to keep it clean and easy to see what was happening, but there are many more. Most of the highs and lows on the way down from C to G were marked off by squares based on previous swings, and it would be a great exercise for an enterprising trader to go back and locate all the squares on this chart. Note that our scale factor of 0.1 points per bar works well on most stocks, although commodities all have diff erent scales that have to be determined before this approach can be used on them.
Letís take a look at the same chart, but this time using triangles. Please turn your attention to Figure 3.
Again, we have three triangles drawn on the chart. The first triangle extends from point A to B, and if you move your eyes over to the rightmost tip, youíll see that it lines up with the low at D. The next triangle has an edge running from C to D, and the third point coincides with the low at F. The last triangle runs from E to G, with the projected turn falling on H.
None of this is very complicated. We are using the simplest of shapes, and just drawing them in on our charts. A moving average is more difficult to calculate than this, but youíll never see a moving average telling you anything about turning points months in advance.
This is all possible because our charts are scaled correctly. One of the reasons why so few traders are aware of this kind of thing is because most soft ware programs just canít draw charts properly. Ganntrader can do it, and Wave59 can do it, but thatís about it. If youíre a daytrader, then Wave59 is your only choice. This is what happens when you have non-trading computer scientists designing trading software. They are not aware of the subtle relationships between price and time and just do things the easy way by putting the highest price on screen at the top of the chart, the lowest price at the bottom, and then adjusting on the fl y as things change. The problem with this kind of automatic scaling is that it totally distorts the chart, and conceals the geometric nature of markets. If you had pulled up this chart using any of the major ďindustry standardĒ programs, youíd have no clue that there were any triangles or squares anywhere on the chart. Th e worst part is that as the chart updates, it would be re-scaled as you went and any shape you had drawn at that point would be moved on you so that the edges were in diff erent locations due to the new scale. So if youíre currently using any charting program aside from the two mentioned, you need to realize that an entire branch of extremely powerful techniques are being withheld from you by your soft ware. Iíll take simple triangles and squares any day over the complicated algorithms like RSI, Stochastics, or moving averages that make up the heart of the modern day analystís tool box. None of the famous traders of old used these algorithms, and if you take a look at their results youíll see that they werenít any worse for wear without those oscillators.
So far weíve looked at simple shapes in order to demonstrate the geometric nature of a scaled chart, but Iíd like to take a moment to demonstrate just how far you can go with this style of analysis. If youíll take a look at Figure 4, youíll see a chart of the Fibonacci Vortex, a pattern I developed over the years when studying scaled charts. It is based on a golden spirals and 45 degree angles, and is used to forecast future turning points in price and time.
The Vortex is centered on the most recent swing high or low, and then a mechanical procedure is applied to determine the correct size and positioning of the pattern. I donít have enough space in this article to go through that now, but suffice it to say the vortex shown on Figure 4 was already drawn just after the low at point A formed, long before the market approached point B. As the Dow rallied up into the spirals and that spoke at B, we knew the time was ripe for resistance to kick in, which is did and the market corrected back almost 500 points before finding support at the next spoke down on our pattern.
The arrows on the chart show all the other turning points found over the last year, using the same procedure on different swing points in the past. Squares and triangles demonstrate the geometric relationships well, but patterns like this are really where the money is at. I recently gave a talk to the Denver Trading Group about the Fibonacci Vortex, and in that talk we went over the last five years of action in the Dow and were able to pinpoint every single major turning point using nothing more than this pattern and a properly scaled chart. I donít know of any other technique available in the public domain that comes anywhere close to that result, which demonstrates what can happen when you simply scale your chart to mimic the marketís own vibration rate.
At first it sounds amazing that any single technique would be so powerful as to be able to pinpoint every turn on the Dow within a day and a oft entimes just a few points, but Wave59 users have been doing it for years now with great success. Trading success is not really a matter of obtaining some graillike technique, but of organizing the information the market provides in a way that reflects true reality. In this case, the reality is that price and time are one, that you can convert between them with the right knowledge about chart scaling, and that you can use this relationship along with simple geometry to forecast turning points in the future with a high degree of accuracy. The rest is psychology and discipline, the addition of which results in trading success and consistent profits.
This article is intended solely for information purposes. The opinions are those of the author only. Please conduct further research and consult your financial advisor before making any investment/trading decision. No responsibility can be accepted for losses that may result as a consequence of trading on the basis of this analysis.
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